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When it comes to making decisions based on data, data science is a comprehensive field of study that uses scientific methods, tools, processes, and algorithms to extract useful insights. Statistics, machine learning, analytics, programming, and data mining are all important parts of data science. Because businesses and organizations increasingly rely on data to predict trends and make decisions, a degree in data science can be a valuable academic path.
To compile our list of the best universities for Data Science in South Korea, we used an editorial scoring framework that prioritizes academic and research strength in data science and AI, program relevance and rigor, interdisciplinary opportunities and facilities, and international student friendliness. We cross-checked official program information, institutional reputation in STEM, and student perspectives to evaluate real-world learning environments.
Top Schools Offering Data Science and Related Study in South Korea
1. Korea Advanced Institute of Science and Technology
Why it stands out: KAIST’s Kim Jaechul Graduate School of AI offers MS, MS/Ph.D. Integrated, and Ph.D. degrees in Artificial Intelligence, with research areas that strongly overlap with data science.
KAIST (Korea Advanced Institute of Science and Technology) is a premier institution for AI and data-science-related graduate study in Korea. The Kim Jaechul Graduate School of AI was established in Fall 2019 and offers MS, MS/Ph.D. Integrated, and Ph.D. degrees in Artificial Intelligence. Its official research areas include machine learning, artificial intelligence, data mining, computer vision, natural language processing, robotics, computer systems support for AI, and applied AI. Although KAIST’s main campus is in Daejeon, the KAIST AI school lists its Seoul Campus, Yangjae Industry-Academic Campus, and Seongnam Research Center on its official site.
“It produces a very large number of research papers at top-tier conferences and journals every year.”
Mhd Anas Al Saidi (Master’s, Data Science), KAIST Global Korea Scholarship recipient from Syria
For data science students, this research intensity can translate into strong lab opportunities and exposure to global AI, machine learning, and data mining research. Students also report that KAIST is English-friendly, but applicants should always confirm the language of instruction on the specific department or course page before applying.
What Current Students / Alumni of Korea Advanced Institute of Science and Technology Say
| Student/Alumnus and Program | Data Science Academic Experience | University Experience |
|---|
Mhd Anas Al Saidi
Master’s in Data Science
Research focus: AI applications in livestock | His research applied AI to the livestock industry, and he attended English-taught courses. He found the academic pace demanding and graduated one semester later than planned, while describing his advisor and labmates as supportive. | He appreciated the international community and reported that international student organizations helped with orientation, visas, and campus activities. |
Omer Tariq
Integrated Master’s and Ph.D. in Computer Science
Specialization: Machine Learning and Artificial Intelligence
2022–2025 | He reports producing 11 IEEE publications through his doctoral research, including two in the IEEE Internet of Things Journal, and taking classes entirely in English. He describes his research environment as competitive and largely independent, with poor work-life balance. | — |
2. Seoul National University
Why it stands out: SNU’s Graduate School of Data Science offers graduate-level pathways in data science and supports interdisciplinary research across data science, AI, machine learning, analytics, and computing.
Seoul National University is one of Korea’s leading national research universities. The university opened in 1946, and its official admissions page describes SNU as a long-standing leader in Korean higher education with a global reputation. For data science students, SNU’s Graduate School of Data Science is especially relevant because it focuses on researching and developing innovative technology, educating the next generation of data scientists, and cultivating multidisciplinary collaboration. Its faculty research areas include machine learning, deep learning, business analytics, data visualization, causal inference, database techniques for ML/AI/data science, data platforms, and other data-driven fields.
3. Pohang University of Science and Technology
Why it stands out: POSTECH’s Graduate School of Artificial Intelligence provides graduate-level AI and data science training built on strong computer science and engineering foundations.
Pohang University of Science and Technology is a strong option for students interested in AI, data systems, and data-science-oriented research. POSTECH’s Graduate School of Artificial Intelligence states that it provides specialized education in AI and data science for master’s and doctoral students. Its curriculum includes core training in machine learning, artificial intelligence and data science, and deep learning, while its research fields include AI systems, big data systems, cloud computing, data mining, databases, machine learning, computer vision, and natural language processing.
POSTECH is a strong fit for students who want a research-intensive graduate path in data science and AI with room to build real software, research skills, and interdisciplinary expertise.
4. Korea University
Why it stands out: Established in 2021 under Korea University’s College of Informatics, the Department of Data Science combines core computing and AI foundations with intensive training in modern data analysis and big-data workflows.
Korea University in Seoul is one of Korea’s best private institutions, known for its urban campus and strong reputation. Within this environment, Korea University’s College of Informatics created the Department of Data Science in 2021 to meet IT-sector demand for data-driven technology. The department’s curriculum is designed to build a solid foundation in computer programming, data structures, algorithms, discrete mathematics, databases, and artificial intelligence, alongside intensive courses in data analysis, data visualization, and big data processing.
“I had the opportunity to work extensively with large-scale national datasets, which significantly deepened my appreciation for the transformative power of data.”
Lakhwinder Kaur (Master’s in Big Data Science), Korea University Scholar
For students aiming to build practical, industry-relevant data skills in Seoul, the department offers a focused pathway that bridges rigorous computing fundamentals with applied analytics.
5. Pusan National University
Pusan National University offers dedicated data science pathways at undergraduate and graduate levels in South Korea. Its undergraduate Data Science major has a biomedical application focus, while its Graduate School of Data Science covers analytical methods and applications across several industries.
The undergraduate Data Science major within the School of Biomedical Convergence Engineering develops computing, statistics, artificial intelligence, and machine learning foundations. It specifically prepares students to work with biomedical data, so its academic emphasis differs from a general-purpose analytics program. The university’s current department website announces a move into the College of AI and a reorganized School of Data Science for March 2027; this is a forthcoming change rather than the existing 2026 structure.
The Graduate School of Data Science verifies master’s, doctoral, and integrated master’s–doctoral admissions. Its curriculum spans data acquisition, storage, processing, management, analysis, automation, and visualization. Foundational mathematics, statistics, and computing are connected with applications in smart manufacturing, shipping and ports, biomedicine, and finance. This provides graduate students with a broader range of application areas than the biomedical emphasis described for the undergraduate major.
What Current Students / Alumni of Pusan National University Say
| Student/Alumnus and Program | Data Science Academic Experience | University Experience |
|---|
Tesfahunegn Minwuyelet Mengistu
Ph.D. in Computer Engineering
Connected Intelligence Systems Lab
Research focus: Federated and privacy-preserving machine learning | His research addresses non-IID data and heterogeneous environments in distributed learning, with applications including healthcare AI and low-resource-language OCR. He reports access to NVIDIA GPUs and research seminars, and presented work on heterogeneity in federated learning at a conference in Pusan. | He enjoys Busan’s markets, seaside, and diverse communities. He also mentions visa guidance, cultural orientation, buddy programs, mental health support, and Ethiopian student networks. |
Camila Painefilo
Master’s in Management Information Systems
Thesis focus: Predicting online-review helpfulness | Her thesis combined deep learning, machine learning, and qualitative comparative analysis to examine how review text and images affect helpfulness. Most major courses were in Korean, which made studying difficult; taking English courses outside her major required office and advisor approval. | She felt supported by staff who explained visa and residence-card procedures and answered international students’ questions. |
6. Chonnam National University
Chonnam National University offers undergraduate and graduate data science education in Gwangju, South Korea. Its Data Science Convergence major addresses data-centered industrial and social problems, while its Graduate School of Data Science offers dedicated advanced qualifications in the subject.
The undergraduate Data Science Convergence major covers the data lifecycle, from collection and cleaning to analysis and use. Its published curriculum includes Python programming, social data analysis and visualization, machine learning, data mining, databases, natural language processing, and a creative interdisciplinary Data Science project. The university publishes a full graduation framework for this major, distinguishing it from an isolated course or optional certificate.
Graduate students can pursue master’s and doctoral degrees in Data Science. Courses include deep learning, advanced statistics, natural language processing, data engineering, and applied machine learning for cybersecurity. The master’s graduation rules distinguish a thesis route requiring at least 24 credits from a project route requiring at least 30 credits. The doctorate requires at least 36 credits and a dissertation, with additional research and assessment requirements.
What Current Students / Alumni of Chonnam National University Say
| Student/Alumnus and Program | Data Science Academic Experience | University Experience |
|---|
Tran Ngoc Ly
Master’s in Data Science
Research focus: Medical AI | Her thesis applies multi-task deep learning to simultaneous medical-image classification and segmentation; the resulting paper was under review when she shared her story. She found the program demanding and research-intensive, with most instruction and academic interaction in Korean despite some English course and presentation options. | She describes Gwangju as comfortable and less hectic than Seoul, with an appealing arts and cultural scene. |
7. Konkuk University
Why it stands out: Konkuk University in Seoul offers data-science-related study through its Data Science, Artificial Intelligence, and Computer Science ecosystem, giving students exposure to statistics, algorithms, machine learning, NLP, computer vision, and data-driven computing.
Konkuk University (KU) has a relevant ecosystem for students interested in data science, AI, and data-driven computing. Its official course listings include data mining, data science, natural language processing, computer vision, and large language models within computer science-related coursework. Its Artificial Intelligence department also emphasizes theory, applications, AI+X convergence, and project-based learning. Faculty research areas include intelligent systems and big data, graph machine learning, recommender systems, natural language processing, trustworthy AI, and intelligent data science.
“The academic structure is strongly lab-focused… The heavy emphasis on lab work allowed me to engage deeply with my own research interests, publish work for academic conferences, and gain hands-on experience that closely mirrors the realities of academic research.”
Henni Folåsen (Master’s in Artificial Intelligence), Konkuk University Scholar from Norway
That lab immersion is especially valuable in AI and data science, where skills are built through iterative experimentation and research workflows. Students should note that language of instruction can vary by program and course; for example, one Konkuk Data Science scholar reported that his coursework was conducted in Korean.
What Current Students / Alumni of Konkuk University Say
| Student/Alumnus and Program | Data Science Academic Experience | University Experience |
|---|
Henni Folåsen
Master’s in Artificial Intelligence
Research focus: Deepfake detection, computer vision, and ethical AI | She conducted deepfake-detection research and published conference work in a supportive, collaborative lab, but initially struggled with the limited emphasis on structured coursework. Classes and common lab discussions were in Korean, while personal discussions with her advisor were usually in English; academic Korean remained challenging even after advanced language training. | She formed most of her close friendships through her lab and enjoyed socializing with fellow students outside research. |
Said Ali Ahmed
Master’s in Data Science | He describes his Data Science master’s as rigorous, practical, and research-oriented. All his coursework was in Korean, and the advanced proficiency he developed before the degree helped him follow his studies. | He reports helpful administrative guidance on visas, accommodation, and campus resources, and says Korean proficiency also supported his social interactions. |
8. Seoul National University of Science and Technology
Seoul National University of Science and Technology, commonly called SeoulTech, offers dedicated graduate education through its Department of Data Science in Seoul, South Korea. Its educational approach combines analytical methods with business knowledge and practical experience across the data value chain.
The graduate department offers master’s and doctoral study, with a curriculum organized around data science, business applications, and professional development. Technical areas include databases, distributed processing, cloud computing, visualization, multivariate statistics, time series analysis, explainable machine learning, and deep learning. Business modules address applications in finance, healthcare, energy, manufacturing, and other sectors. Master’s and doctoral thesis research, seminars, field practice, and industry-linked projects connect analytical training with academic research and practical problem-solving.
What Current Students / Alumni of Seoul National University of Science and Technology Say
| Student/Alumnus and Program | Data Science Academic Experience | University Experience |
|---|
Carlos Vintimilla
Master’s in Data Science
AI research at DaintLab | He gained hands-on AI research experience at DaintLab under Professor Sangheum Hwang. Korean-taught classes sometimes caused difficulties, but professors provided English materials, accepted English assignments, and administered examinations in English. | He says he consistently felt welcome at SeoulTech. |
9. Hoseo University
Hoseo University offers data-focused education at its Asan campus in South Korea. Its undergraduate Department of Big Data and AI emphasizes extracting information from large datasets, while the graduate Department of Data Science combines analytical knowledge with industrial engineering and technology management.
The undergraduate Big Data and AI program develops skills in data management, visualization, analytical modeling, and business problem-solving. Its Big Data Analysis track covers applications such as marketing, public opinion research, econometrics, and quality management. The curriculum brings together mathematics and statistics, computer programming, and business knowledge, making this a directly relevant undergraduate option despite its broader official program name.
The graduate Department of Data Science explicitly offers master’s, doctoral, and integrated master’s–doctoral programs. Its published coursework requirements are at least 24 credits for the master’s, 36 for the doctorate, and 60 for the integrated program. Teaching includes problems drawn from industry, and the department identifies internship opportunities and statistical consulting as ways to gain experience with real data.
What Current Students / Alumni of Hoseo University Say
| Student/Alumnus and Program | Data Science Academic Experience | University Experience |
|---|
Tanzina Nizam
Master’s in Data Science | Her studies cover machine learning, AI, and big data analytics. She describes projects, labs, and industry-linked assignments that encourage working with real datasets, alongside approachable professors who support students’ development. | She values the cross-cultural interactions, but says learning basic Korean earlier would have helped her settle into life in Korea more smoothly. |
10. Soonchunhyang University
Soonchunhyang University in Asan, South Korea, offers directly relevant undergraduate study through its Department of AI and Big Data in the College of Software Convergence. The department combines artificial intelligence, computing, and data analysis, with faculty interests including financial AI, medical data analysis, and game data.
Its published four-year curriculum begins with calculus, probability and statistics, introductory data science, and programming in R, Python, and C. Later study includes databases, data mining, exploratory data analysis, visualization, machine learning, and deep learning. Advanced subjects cover Hadoop, time series analysis, unstructured data, natural language processing, and explainable AI. Capstone design introduces project work. Most technical subjects in the published curriculum are marked as Korean-taught, with separate English courses.
What Current Students / Alumni of Soonchunhyang University Say
| Student/Alumnus and Program | Data Science Academic Experience | University Experience |
|---|
Erenza
Undergraduate degree in AI and Big Data | Her studies include statistics, machine learning, data visualization, and applications of AI to real-world problems. Most classes are in Korean, but she reports that some professors provide English examination questions when asked in advance. | She enjoys friendships with Korean and international students, while acknowledging challenges adjusting to a new culture. She also participated as a Global Supporter, helping other international students navigate university life. |
Explore available data science degree programs and compare the study options that match your goals.
